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Knowledge, Skills and Abilities: Highly motivated, quick learner and someone who would be able to work independently and follow instructions accurately. Must be able to work with others and learn new
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computer vision, where the PhD project was fully or substantially method-focused on computer vision and/or AI-based image or video analysis have very strong knowledge of machine learning, with practical
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. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Interviews for this studentship
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: DF03220 Area of knowledge: Internal Geodynamics Department: Earth and Environmental Sciences Research profile: Active Tectonics Position number: DF03221 Area of knowledge: Computer Languages and Systems
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University of North Georgia is a University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https
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and good knowledge of opensource development practices; • solid understanding in at least one of the following areas: numerical methods, computational modeling, machine learning or continuum mechanics
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combinations of theoretical physics, mathematics, and machine learning. While machine experience is not a strict requirement for the job, we anticipate that the strongest candidates will have clear research
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Jersey is seeking non-credit part time instructors for the Center for Mathematics, Science, and Computer Education. We seek qualified instructors who can contribute to the University’s educational mission
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bridge the gap between the classroom and the industry. Successful candidates will instruct/co-instruct on a wide variety of topics. Applicant’s core knowledge should include, but is not limited to, any
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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated